9865554 6892 Scikit-learn Bot 58 Supervised Classification 8834 sklearn.pipeline.Pipeline(columntransformer=sklearn.compose._column_transformer.ColumnTransformer(numeric=sklearn.pipeline.Pipeline(imputer=sklearn.preprocessing.imputation.Imputer,standardscaler=sklearn.preprocessing.data.StandardScaler),nominal=sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute.SimpleImputer,onehotencoder=sklearn.preprocessing._encoders.OneHotEncoder)),variancethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,gradientboostingclassifier=sklearn.ensemble.gradient_boosting.GradientBoostingClassifier)(1) 7794956 memory null 8834 n_jobs null 8835 remainder "passthrough" 8835 sparse_threshold 0.3 8835 transformer_weights null 8835 memory null 8836 axis 0 8837 copy true 8837 missing_values "NaN" 8837 strategy "median" 8837 verbose 0 8837 copy true 8838 with_mean true 8838 with_std true 8838 memory null 8839 copy true 8840 fill_value -1 8840 missing_values NaN 8840 strategy "constant" 8840 verbose 0 8840 categorical_features null 8841 categories null 8841 dtype {"oml-python:serialized_object": "type", "value": "np.float64"} 8841 handle_unknown "ignore" 8841 n_values null 8841 sparse true 8841 threshold 0.0 8842 criterion "mae" 8843 init null 8843 learning_rate 0.2345664815386877 8843 loss "deviance" 8843 max_depth 2 8843 max_features 0.5043625673551433 8843 max_leaf_nodes null 8843 min_impurity_decrease 0.8608488185593269 8843 min_impurity_split null 8843 min_samples_leaf 6 8843 min_samples_split 20 8843 min_weight_fraction_leaf 0.23001423125457265 8843 n_estimators 90 8843 n_iter_no_change 179 8843 presort "auto" 8843 random_state 6106 8843 subsample 0.8021422278750094 8843 tol 0.0002362214585574577 8843 validation_fraction 0.03905987404553768 8843 verbose 0 8843 warm_start false 8843 openml-python Sklearn_0.20.1. 60 waveform-5000 https://www.openml.org/data/download/60/dataset_60_waveform-5000.arff -1 20651554 description https://api.openml.org/data/download/20651554/description.xml -1 20651555 predictions https://api.openml.org/data/download/20651555/predictions.arff area_under_roc_curve 0.49907075618018243 [0.499285,0.499051,0.498871] average_cost 0 kappa 0 kb_relative_information_score 5.47377401950895 mean_absolute_error 0.44443147892463974 mean_prior_absolute_error 0.4444187354254056 number_of_instances 5000 [1692,1653,1655] predictive_accuracy 0.33840000000000003 prior_entropy 1.584879304663002 recall 0.3384 [1,0,0] relative_absolute_error 1.0000286745319635 root_mean_prior_squared_error 0.47139087815169733 root_mean_squared_error 0.4713943583216606 root_relative_squared_error 1.0000073827690024 total_cost 0 area_under_roc_curve 0.5 [0.5,0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5,0.5] average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 kappa 0 kappa 0 kappa 0 kappa 0 kappa 0 kappa 0 kappa 0 kappa 0 kappa 0 kappa 0 kb_relative_information_score 0.5778708895797638 kb_relative_information_score 0.5778708895797638 kb_relative_information_score 0.5390514811264234 kb_relative_information_score 0.5390514811264234 kb_relative_information_score 0.5390514811264234 kb_relative_information_score 0.5390514811264234 kb_relative_information_score 0.5390514811264234 kb_relative_information_score 0.5409249449057892 kb_relative_information_score 0.5409249449057892 kb_relative_information_score 0.5409249449057892 mean_absolute_error 0.44442822038501834 mean_absolute_error 0.44442822038501834 mean_absolute_error 0.44443239777985816 mean_absolute_error 0.44443239777985816 mean_absolute_error 0.44443239777985816 mean_absolute_error 0.44443239777985816 mean_absolute_error 0.44443239777985816 mean_absolute_error 0.4444321198590725 mean_absolute_error 0.4444321198590725 mean_absolute_error 0.4444321198590725 mean_prior_absolute_error 0.44441068692117863 mean_prior_absolute_error 0.44441068692117863 mean_prior_absolute_error 0.4444205476713951 mean_prior_absolute_error 0.4444205476713951 mean_prior_absolute_error 0.4444205476713951 mean_prior_absolute_error 0.4444205476713951 mean_prior_absolute_error 0.4444205476713951 mean_prior_absolute_error 0.44442108068492037 mean_prior_absolute_error 0.44442108068492037 mean_prior_absolute_error 0.44442108068492037 number_of_instances 500 [170,165,165] number_of_instances 500 [170,165,165] number_of_instances 500 [169,165,166] number_of_instances 500 [169,165,166] number_of_instances 500 [169,165,166] number_of_instances 500 [169,165,166] number_of_instances 500 [169,165,166] number_of_instances 500 [169,166,165] number_of_instances 500 [169,166,165] number_of_instances 500 [169,166,165] predictive_accuracy 0.34 predictive_accuracy 0.34 predictive_accuracy 0.33799999999999997 predictive_accuracy 0.33799999999999997 predictive_accuracy 0.33799999999999997 predictive_accuracy 0.33799999999999997 predictive_accuracy 0.33799999999999997 predictive_accuracy 0.33799999999999997 predictive_accuracy 0.33799999999999997 predictive_accuracy 0.33799999999999997 prior_entropy 1.584879304663002 prior_entropy 1.584879304663002 prior_entropy 1.584879304663002 prior_entropy 1.584879304663002 prior_entropy 1.584879304663002 prior_entropy 1.584879304663002 prior_entropy 1.584879304663002 prior_entropy 1.584879304663002 prior_entropy 1.584879304663002 prior_entropy 1.584879304663002 recall 0.34 [1,0,0] recall 0.34 [1,0,0] recall 0.338 [1,0,0] recall 0.338 [1,0,0] recall 0.338 [1,0,0] recall 0.338 [1,0,0] recall 0.338 [1,0,0] recall 0.338 [1,0,0] recall 0.338 [1,0,0] recall 0.338 [1,0,0] relative_absolute_error 1.0000394532902914 relative_absolute_error 1.0000394532902914 relative_absolute_error 1.0000266641777145 relative_absolute_error 1.0000266641777145 relative_absolute_error 1.0000266641777145 relative_absolute_error 1.0000266641777145 relative_absolute_error 1.0000266641777145 relative_absolute_error 1.0000248394476137 relative_absolute_error 1.0000248394476137 relative_absolute_error 1.0000248394476137 root_mean_prior_squared_error 0.4713823410994445 root_mean_prior_squared_error 0.4713823410994445 root_mean_prior_squared_error 0.47139280038054204 root_mean_prior_squared_error 0.47139280038054204 root_mean_prior_squared_error 0.47139280038054204 root_mean_prior_squared_error 0.47139280038054204 root_mean_prior_squared_error 0.47139280038054204 root_mean_prior_squared_error 0.47139336574047663 root_mean_prior_squared_error 0.47139336574047663 root_mean_prior_squared_error 0.47139336574047663 root_mean_squared_error 0.4713904590474468 root_mean_squared_error 0.4713904590474468 root_mean_squared_error 0.4713954539248711 root_mean_squared_error 0.4713954539248711 root_mean_squared_error 0.4713954539248711 root_mean_squared_error 0.4713954539248711 root_mean_squared_error 0.4713954539248711 root_mean_squared_error 0.47139513181895143 root_mean_squared_error 0.47139513181895143 root_mean_squared_error 0.47139513181895143 root_relative_squared_error 1.0000172215785246 root_relative_squared_error 1.0000172215785246 root_relative_squared_error 1.000005629157524 root_relative_squared_error 1.000005629157524 root_relative_squared_error 1.000005629157524 root_relative_squared_error 1.000005629157524 root_relative_squared_error 1.000005629157524 root_relative_squared_error 1.000003746506852 root_relative_squared_error 1.000003746506852 root_relative_squared_error 1.000003746506852 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 usercpu_time_millis 71219.721624 usercpu_time_millis 71144.599015 usercpu_time_millis 71098.89851900002 usercpu_time_millis 71178.69813599998 usercpu_time_millis 71261.00647700002 usercpu_time_millis 71177.76685100001 usercpu_time_millis 71196.37274800005 usercpu_time_millis 71239.02051400012 usercpu_time_millis 71199.457682 usercpu_time_millis 72411.296108 usercpu_time_millis_testing 4.089425000003644 usercpu_time_millis_testing 3.907362000006742 usercpu_time_millis_testing 3.9617799999973613 usercpu_time_millis_testing 3.8733829999841873 usercpu_time_millis_testing 3.867807000005996 usercpu_time_millis_testing 3.7273849999905906 usercpu_time_millis_testing 3.7180450000278142 usercpu_time_millis_testing 3.915900000038164 usercpu_time_millis_testing 4.068182999958481 usercpu_time_millis_testing 3.7880539999832763 usercpu_time_millis_training 71215.632199 usercpu_time_millis_training 71140.69165299999 usercpu_time_millis_training 71094.93673900003 usercpu_time_millis_training 71174.824753 usercpu_time_millis_training 71257.13867000001 usercpu_time_millis_training 71174.03946600002 usercpu_time_millis_training 71192.65470300002 usercpu_time_millis_training 71235.10461400008 usercpu_time_millis_training 71195.38949900004 usercpu_time_millis_training 72407.508054